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Machine learning with R

  1. 4.5
  2. (535 ratings)
  • 450+ Learners
  • English

Machine learning with R

  1. $428
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    450+ Learners
  • 100+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Skill level

What you'll learn

You will learn to make use of the R language to access databases, clean, analyze, and visualize data with R. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with R.

Universally Recognized Certificates


Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to curated jobs

Programming Languages and Tools Covered

Detailed Syllabus of Machine learning with R Course

This Machine Learning with R program dives into the fundamentals of machine learning utilizing an approachable, and popular, programming language.

You will find out Supervised vs Unsupervised Learning, check into just how Statistical Modeling pertains to Machine Learning, and also perform their comparison.

Look at real-life instances of Machine learning and just how it impacts society in ways you might not have guessed!

Explore a lot of algorithms and models:
  • Popular algorithms: Dimensional, Clustering, Regression, and Classification Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, as well as Random Forests.
  • Get ready to do a lot more learning than the machine of yours!
Course Content
Machine Learning Languages, Types, and Examples
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning
Course Content
K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages Disadvantages of Decision Trees
Course Content
Regression Algorithms
  • Model Evaluation
  • Model Evaluation: Overfitting Underfitting
  • Understanding Different Evaluation Models
Course Content
K-Means Clustering plus Advantages Disadvantages
  • Hierarchical Clustering plus Advantages Disadvantages
  • Measuring the Distances Between Clusters - Single Linkage
  • Clustering
  • Measuring the Distances Between Clusters - Algorithms for
  • Hierarchy Clustering
  • Density-Based Clustering
Course Content
Dimensionality Reduction: Feature Extraction Selection
  • Collaborative Filtering Its Challenges

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs and Expert Industry Professionals.

100+ Hours of Content - best institute for data science lucknow

Hours of Content

80+ Live Sessions - data science training lucknow

Live Sessions

15 Tools and Software - data science institute lucknow

Tools and Software


Learn from India’s leading Software Engineering faculty and Industry leaders

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Research Scientist with a PhD in computer science and 14 years of hands-on experience.

Frequently Ask Questions

Students can find various online courses for machine learning with R but none of them is as good as provided by DataTrained. We present to you the best online certification course for Machine Learning with R that you can find anywhere. DataTrained is India’s number one online platform for learning various courses.

In this course the student will learn to utilize R language to retrieve databases, analyse, visualize and filter data with R. In these times of covid it is difficult to enroll in or attend offline physical classes. That’s why we provide you with 100% online content. in which students are required to attend weekend classes, It has been fixed on weekends so that even working professionals can join our classes without having to leave their current jobs.

Here are the salient features of our Machine Learning with R course:-

  • Certificate of completion from DataTrained
  • Capstone projects and access to 15 real life projects
  • 100+ hours of learning
  • Learn from Industry professionals and experts
  • Practice tests included
  • Analytics Jobs placement assistance

According to R is a computer programming language and an environment for graphics and statistical computing. It is supported by R Core Team and R foundation for statistical computing. This programming language was developed by Ross Ihaka and Robert Gentleman. R is used by data miners for data analysis and statisticians for developing statistical software.

For machine learning R is mainly used for exploratory purposes and developing one off models. The R programming language has an interactive environment which is very beneficial for investigating and studying the use of packages and functions.

The best thing about using R for machine learning is that you don’t need to be a good programmer. The only knowledge you would be requiring is understanding which packages to use and how to use them. Even if you have knowledge of other programming language such as Java, C# or Python you will be able to quickly pick up syntax very quickly.

There are hundreds of machine learning packages in R. There has been a frequently asked question about, which programming language is best suited for machine learning? There are several contenders such as R, Python and MATLAB. According to a survey by Kaggle, open source R programming language is the top choice for data scientists.

Machine learning is a part of artificial intelligence which centres around developing of softwares and computer programs which access data to learn itself and make predictions. It does so without being specifically coded.

Being an open sourced programming language, packages are published on R with the help of contributions from developers throughout the globe, which makes it very user friendly. Here is a list of R packages which are widely used:-

  • CARET or Classification And Regression Training
  • data.table
  • dplyr
  • Random Forest
  • ggplot2
  • e1071
  • xgboost
  • kernLab
  • rpart

According to web portal, the average base salary of a machine learning professional is ₹ 21,611 per month in India. This is based on 154 salaries reported and updated on 8 January 2022. With top companies being:-

  • PRISM : It provides a salary of ₹ 1,22,573 per month.
  • 2COMS Consulting Pvt Ltd : It provides a salary of ₹ 63,702 per month.
  • Ikya Human Capital Solutions Pvt Ltd : It provides ₹ 60,748 per month.

According to another web portal glassdoor, the average salary for a machine learning professional is ₹8.4 Lakhs per year based on 722 salaries listed. The salary ranges from ₹4.1 Lakhs per year to ₹19 Lakhs per year. With top companies being:-

  • Quantiphi : It provides ₹8,82,602 per year.
  • Tata Consultancy Services : TCS provides ₹5,39,405 per year.
  • Accenture : It gives ₹8,71,959 per year.
  • Amazon : It provides ₹4,56,658 per year.

On another platform the average salary in India was found out to be ₹7,31,169 per year. With salaries ranging from ₹305k to ₹2m.

A student can find tons of courses on machine learning with R online and offline but are they really worth it? Majority of them would be of no use when it comes to finding suitable jobs. Only a certification from a world renowned institute would count.

DataTrained’s Machine Learning with R course. This certification carries a lot of weight in the industry. Our course is offered at an unbeatable price of ₹14999 plus taxes. It is an affordable price keeping in mind every class of society because we at DataTrained believe in providing affordable and quality education.

DataTrained Machine Learning with R course has a very beginner friendly curriculum. Our tutors teach everything from scratch keeping in mind the pace of learning of every student. Here is a detailed syllabus for our course:-

Course 1 : Machine learning vs Statistical Modeling Supervised vs Unsupervised Learning
  • Popular Algorithms such as dimensional, clustering, regression and classification reduction.
  • Popular models such as train or test split, root mean square error and random forests.
Course 2 : Supervised Learning 1 : k-Nearest Neighbours
  • Decision trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages & disadvantages of decision trees
Course 3 : Supervised Learning 2 : Regression Algorithms
  • Model Evaluation
  • Overfitting underfitting
  • Understanding different evaluation models
Course 4 : Unsupervised Learning
  • Hierarchical clustering plus advantages and disadvantages
  • Measuring distances between cluster - single linkage
  • Clustering
  • Measuring the distances between clusters - algorithms
  • Density based Clustering
Course 5 : Dimensionality reduction collaborative Filtering
  • Collaborative filtering and its challenges

Yes! You can definitely learn R programming language with no prior experience in programming. In Fact many of our students for machine learning with R course had no previous programming experience. Yet they achieved handsome packages in reputed organizations after completing our course.

In just 100+ hours you can master machine learning with R. Our tutors teach in depth concepts and give insights of various trending topics. With our Learning Management System (LMS) a student can raise any queries and get them resolved within a short period of time.

R is one of the most popular programming languages along with Python. R has been an eminent choice for data scientists and IT professionals. Let’s look at various reasons which tells us why R is worth learning in 2022:-

  • R is an open source platform, which means it’s free of cost and has no licence restrictions.
  • It has cross platform compatibility on various operating systems and softwares like MS Excel, MySQL.
  • Extensive library with Inbuilt packages for machine learning.
  • It has a vast community of developers and volunteers.
  • Exceptional visualizations like ggplot2, RGL, etc.
  • Interactive web apps development packages.
  • Excellent for statistical analysis and probability distributions.
  • Scope in various fields.

In simple terms machine learning or ML is a study of algorithms which improves automatically by experience over time and by utilization of data. It is a subset of Artificial Intelligence. Machine learning has an application in various fields like medicine, email filtering, computer vision and speech recognition. It is also used where it is unfeasible to make conventional algorithms to do required tasks.

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.